Training & data literacy
Build understanding that sticks: judgement, intuition, and practical ability to work with data.
- Data literacy for non-technical audiences
- SQL + practical analytics foundations
- Applied DS concepts taught through real scenarios
Workshops • cohorts • tailored programmes
Hands-on sessions with exercises, feedback, and takeaways that teams can reuse.
- 1–2 day workshops
- Multi-week cohorts
- Role-specific sessions (leaders, analysts, cross-functional)
Consultancy & delivery
Solve a real problem with a reliable, maintainable result — and leave your team stronger.
- Forecasting and decision support
- Risk/scoring and classification work
- Operational modelling and optimisation
- Applied ML (incl. computer vision) where useful
Governance, security, and handover
We work within access limits and governance realities. Deliverables prioritise clarity, documentation, and maintainability.
- Clear decision logs and assumptions
- Reproducible code and artefacts
- Handover sessions + operational guidance
Typical outputs
Materials teams reuse
Exercises, templates, and references that make the learning stick.
Maintainable artefacts
Clear repos, model cards, and documentation aligned with constraints.
Clarity + handover
Decision logs, assumptions, and a repeatable plan for what’s next.
How engagements run
Clarify → Deliver → Handover
We work in checkpoints so you get value early, reduce risk, and end with something your team can maintain.
- Clarify: goals, constraints, and success measures
- Deliver: build iteratively with validation points
- Handover: documentation, walkthroughs, and a next-step plan
Low-risk first step
If you’re unsure what you need, start with a short review: we’ll stress-test data, evaluation, and feasibility — then propose the smallest useful next step.
Tell us where you are.
We’ll recommend a sensible starting point and what “good” looks like for your situation.